scholarly journals Survey on Aerial Manipulator: System, Modeling, and Control – CORRIGENDUM

Robotica ◽  
2020 ◽  
Vol 38 (7) ◽  
pp. 1343-1343 ◽  
Author(s):  
Xiangdong Meng ◽  
Yuqing He ◽  
Jianda Han
Robotica ◽  
2019 ◽  
Vol 38 (7) ◽  
pp. 1288-1317 ◽  
Author(s):  
Xiangdong Meng ◽  
Yuqing He ◽  
Jianda Han

SUMMARYThe aerial manipulator is a special and new type of flying robot composed of a rotorcraft unmanned aerial vehicle (UAV) and a/several manipulator/s. It has gained a lot of attention since its initial appearance in 2010. This is mainly because it enables traditional UAVs to conduct versatile manipulating tasks from air, considerably enriching their applications. In this survey, a complete and systematic review of related research on this topic is conducted. First, various types of structure designs of aerial manipulators are listed out. Subsequently, the modeling and control methods are introduced in detail from the perspective of two types of typical application cases: free-flight and motion-restricted operations. Finally, challenges for future research are presented.


2021 ◽  
Vol 1 (3) ◽  
pp. 308-325
Author(s):  
Xu Wei-hong ◽  
Cao Li-jia ◽  
Zhong Chun-lai

The aerial manipulator is a new type of aerial robot with active operation capability, which is composed of a rotary-wing drone and an actuator. Although aerial manipulation has greatly increased the scope of robot operations, the research on aerial manipulators also faces many difficulties, such as the selection of aerial platforms and actuators, system modeling and control, etc. This article attempts to collect the research team’s Achievements in the field of aerial robotic arms. The main results of the aerial manipulator system and corresponding dynamic modeling and control are reviewed, and its problems are summarized and prospected.


2014 ◽  
Vol 687-691 ◽  
pp. 661-664
Author(s):  
Ling Li Guo ◽  
Ye Wang

A dynamical system modeling method based on cell mapping is proposed in order to describe the system statistic property, and then a discrete optimal control table is constructed through each state cell excited by all input level recording the optimal cost value at the same time. Finally, a demonstration of the method is shown for the time optimal blast temperature set point control of a sintering machine.


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